Learn how to use .NET Core and the AWS Toolkit for Visual Studio to build serverless functions and deploy them to AWS Lambda in the Amazon cloud.

AWS Lambda’s serverless functions shine for event-driven data processing and machine learning, connecting cloud services and external APIs, and even triggering builds in a CI/CD pipeline ...

I’ll also discuss strategies how to optimize cold start of such Lambda function with AWS Custom Lambda Runtime based on GraalVM Native Image and AWS own offering SnapStart based on Firecracker ...

Amazon Web Services is previewing a new framework for using its recently introduced .NET 6 runtime to create AWS Lambda functions, the foundation of serverless computing in the Amazon cloud.

To make Lambda viable, AWS developed foundational technologies, including Firecracker — a lightweight micro virtual machine designed for fast, isolated serverless functions.

AWS announced some big updates to its Lambda serverless function service today. For starters, starting today it will be able to deliver functions with up to 10 GB of memory and 6 vCPUs (virtual ...

When Amazon introduced AWS Lambda in 2015, the notion of serverless computing was relatively unknown. It enables developers to deliver software without having to manage a server to do it. Instead ...